Big Data Visualization for Time Series Datasets in Python and in the Browser

The growing demand for advanced visualization has led to the development of numerous applications and charting libraries for automated data representation. Big Data visualization plays a crucial role in transforming complex datasets into actionable insights, enabling users to identify patterns, explore predictive models, and make informed decisions. This thesis aims to evaluate existing Big Data visualization solutions for Python and web-based applications, assessing their effectiveness in terms of use cases, user groups, and performance. The expected outcomes includes a comprehensive overview of current applications, and a new framework for interactively analyzing a large time series dataset.